Try our Free Demo Practice Tests for Comprehensive ARA-R01 Exam Preparation

An Architect has designed a data pipeline that Is receiving small CSV files from multiple sources. All of the files are landing in one location. Specific files are filtered for loading into Snowflake tables using the copy command. The loading performance is poor. What changes can be made to Improve the data loading performance?

deliver near real-time sales results to category managers. The stores operate in a variety of time zones and

exhibit a dynamic range of transactions each minute, with some stores having higher sales volumes than

others.

Sales results are provided in a uniform fashion using data engineered fields that will be calculated in a

complex data pipeline. Calculations include exceptions, aggregations, and scoring using external functions

interfaced to scoring algorithms. The source data for aggregations has over 100M rows.

Every minute, the POS sends all sales transactions files to a cloud storage location with a naming convention

that includes store numbers and timestamps to identify the set of transactions contained in the files. The files

are typically less than 10MB in size.

How can the near real-time results be provided to the category managers? (Select TWO).

When loading data into a table that captures the load time in a column with a default value of either CURRENT_TIME () or CURRENT_TIMESTAMP() what will occur? 

sources to support a wide variety of use cases and data consumer requirements which include:

1) Finance and Vendor Management team members who require reporting and visualization

2) Data Science team members who require access to raw data for ML model development

3) Sales team members who require engineered and protected data for data monetization

What Snowflake data modeling approaches will meet these requirements? (Choose two.)

What Snowflake system functions are used to view and or monitor the clustering metadata for a table? (Select TWO).